Aneuploidy in pluripotent stem cells and implications for cancerous transformation

Owing to a unique set of attributes, human pluripotent stem cells (hPSCs) have emerged as a promising cell source for regenerative medicine, disease modeling and drug discovery. Assurance of genetic stability over long term maintenance of hPSCs is pivotal in this endeavor, but hPSCs can adapt to life in culture by acquiring non-random genetic changes that render them more robust and easier to grow. In separate studies between 12.5% and 34% of hPSC lines were found to acquire chromosome abnormalities over time, with the incidence increasing with passage number. The predominant genetic changes found in hPSC lines involve changes in chromosome number and structure (particularly of chromosomes 1, 12, 17 and 20), reminiscent of the changes observed in cancer cells. In this review, we summarize current knowledge on the causes and consequences of aneuploidy in hPSCs and highlight the potential links with genetic changes observed in human cancers and early embryos. We point to the need for comprehensive characterization of mechanisms underpinning both the acquisition of chromosomal abnormalities and selection pressures, which allow mutations to persist in hPSC cultures. Elucidation of these mechanisms will help to design culture conditions that minimize the appearance of aneuploid hPSCs. Moreover, aneuploidy in hPSCs may provide a unique platform to analyse the driving forces behind the genome evolution that may eventually lead to cancerous transformation

Influenza Epidemiology And Influenza Vaccine Effectiveness During The 2016-2017 Season In The Global Influenza Hospital Surveillance Network (Gihsn)

BackgroundThe Global Influenza Hospital Surveillance Network (GIHSN) aims to determine the burden of severe influenza disease and Influenza Vaccine Effectiveness (IVE). This is a prospective, active surveillance and hospital-based epidemiological study to collect epidemiological data in the GIHSN. In the 2016-2017 influenza season, 15 sites in 14 countries participated in the GIHSN, although the analyses could not be performed in 2 sites. A common core protocol was used in order to make results comparable. Here we present the results of the GIHSN 2016-2017 influenza season.MethodsA RT-PCR test was performed to all patients that accomplished the requirements detailed on a common core protocol. Patients admitted were included in the study after signing the informed consent, if they were residents, not institutionalised, not discharged in the previous 30days from other hospitalisation with symptoms onset within the 7days prior to admission. Patients 5years old or more must also complied the Influenza-Like Illness definition. A test negative-design was implemented to perform IVE analysis. IVE was estimated using a logistic regression model, with the formula IVE=(1-aOR)x100, where aOR is the adjusted Odds Ratio comparing cases and controls.ResultsAmong 21,967 screened patients, 10,140 (46.16%) were included, as they accomplished the inclusion criteria, and tested, and therefore 11,827 (53.84%) patients were excluded. Around 60% of all patients included with laboratory results were recruited at 3 sites. The predominant strain was A(H3N2), detected in 63.6% of the cases (1840 patients), followed by B/Victoria, in 21.3% of the cases (618 patients). There were 2895 influenza positive patients (28.6% of the included patients). A(H1N1)pdm09 strain was mainly found in Mexico. IVE could only be performed in 6 sites separately. Overall IVE was 27.24 (95% CI 15.62-37.27. Vaccination seemed to confer better protection against influenza B and in people 2-4years, or 85years old or older. The aOR for hospitalized and testing positive for influenza was 3.02 (95% CI 1.59-5.76) comparing pregnant with non-pregnant women.ConclusionsVaccination prevented around 1 in 4 hospitalisations with influenza. Sparse numbers didn't allow estimating IVE in all sites separately. Pregnancy was found a risk factor for influenza, having 3 times more risk of being admitted with influenza for pregnant women.Wo

A new role of AMP-activated protein kinase in regulating proliferation of mesenchymal stem cells

Purpose: Natriuretic peptides (NPs) administered during early reperfusion are protective in models of myocardial infarction. A previous study examining the endogenous components of B-type natriuretic peptide (BNP) protection of reperfused myocardium, implicated both sarcolemmal (s) KATP and mitochondrial (m) KATP channels. The indirect evidence characterising the relationship between BNP signalling and KATP was obtained using sulphonylurea receptor inhibitors in a rat isolated heart model of ischaemia-reperfusion injury. Here we seek to further examine the relationship between NPs and sKATP openings using single channel electrophysiology. Given our previous findings and the overarching consensus that cardioprotective autacoids open KATP channels, it was hypothesised that NPs elicit sKATP opening. Methods: Cardiomyocyte isolation. Left ventricular cardiomyocytes were isolated from male Sprague-Dawley rat hearts subjected to enzymatic digestion with Liberase Blendzyme DL. Cardiomyocytes were cultured overnight in Medium 199, prior to patch clamp. Single channel patch clamp. Single channel recordings at room temperature (22°C) were made from cell attached patches bathed in Na+ Locke, pH 7.2. The recording pipette contained high KCl (140 mM), pH 7.2. Recordings (45 sec) were made over a range of patch potentials (0, -30, -60, -90, -120 mV), in the absence (control) and in the presence of bath applied BNP (10, 100 nM and 1 µM), pinacidil (200 µM) or pinacidil vehicle (DMSO, 0.25%). Recordings were also made with BNP and pinacidil applied concomitantly. Data are mean ± S.E.M. Results: The current voltage relationship of sKATP under control conditions was linear at –ve patch potentials, the mean conductance being 52.9 ± 1.8 pS (n = 18 hearts, n = 35 cells). Pinacidil caused a four fold increase in sKATP open probability compared to control. Mean channel conductance in the presence of pinacidil was 59.9 ± 1.9 pS (n = 16 hearts, n = 44 cells). Interestingly BNP at all concentrations had negligible effects on sKATP open probability and unitary conductance. However, BNP at all concentrations and patch potentials inhibited pinacidil induced sKATP openings, restoring channel open probability to baseline. Conclusion: These data illustrate the inhibitory effect of NP signalling on sKATP function in the cardiomyocyte under normoxia. They are concordant with the inhibitory effect of atrial NP on KATP in the pancreatic beta cell, but are in apparent conflict with the current cardioprotection paradigm. However, differential effects on sKATP and mKATP and the effects of hypoxia-reoxygenation require further exploration

Synthetic biology for the directed evolution of protein biocatalysts:navigating sequence space intelligently

The amino acid sequence of a protein affects both its structure and its function. Thus, the ability to modify the sequence, and hence the structure and activity, of individual proteins in a systematic way, opens up many opportunities, both scientifically and (as we focus on here) for exploitation in biocatalysis. Modern methods of synthetic biology, whereby increasingly large sequences of DNA can be synthesised de novo, allow an unprecedented ability to engineer proteins with novel functions. However, the number of possible proteins is far too large to test individually, so we need means for navigating the ‘search space’ of possible protein sequences efficiently and reliably in order to find desirable activities and other properties. Enzymologists distinguish binding (K (d)) and catalytic (k (cat)) steps. In a similar way, judicious strategies have blended design (for binding, specificity and active site modelling) with the more empirical methods of classical directed evolution (DE) for improving k (cat) (where natural evolution rarely seeks the highest values), especially with regard to residues distant from the active site and where the functional linkages underpinning enzyme dynamics are both unknown and hard to predict. Epistasis (where the ‘best’ amino acid at one site depends on that or those at others) is a notable feature of directed evolution. The aim of this review is to highlight some of the approaches that are being developed to allow us to use directed evolution to improve enzyme properties, often dramatically. We note that directed evolution differs in a number of ways from natural evolution, including in particular the available mechanisms and the likely selection pressures. Thus, we stress the opportunities afforded by techniques that enable one to map sequence to (structure and) activity in silico, as an effective means of modelling and exploring protein landscapes. Because known landscapes may be assessed and reasoned about as a whole, simultaneously, this offers opportunities for protein improvement not readily available to natural evolution on rapid timescales. Intelligent landscape navigation, informed by sequence-activity relationships and coupled to the emerging methods of synthetic biology, offers scope for the development of novel biocatalysts that are both highly active and robust